Adk Agent's Performance Issue in Gemini Enterpise

[rghv-cwx]

I have developed a multi agent system in adk, and deployed it to agent engine. And then exposed to Gemini Enterprise/Agentspace, however the agent doesn't seem to be working on the gemini enterpise. (not able to generated any response, generation stops in between).
I checked in agent engine's playground by testing the deployed agent and it is working as expected there.

[adk-bot]

Response from ADK Answering Agent (experimental, answer may be inaccurate)

TLDR: The issue likely stems from configuration differences between the Agent Engine playground and the Gemini Enterprise production environment. To diagnose this, you should check the application logs of your deployed agent, use Cloud Trace for detailed request tracing, and verify that all required services (like specific model versions or external APIs) are accessible from your production environment.

---

Hi @rghv-cwx,

It's a common challenge for an application to work in a test environment like the Agent Engine playground but encounter issues in a production environment like Gemini Enterprise. The discrepancy is often due to differences in configuration, permissions, or resource availability.

Here are a few potential causes and troubleshooting steps to help you diagnose the problem:

1. Check Application Logs

The first and most crucial step is to inspect the logs of your deployed agent. The logs will often contain specific error messages that can pinpoint the exact cause of the failure. You can access the logs for your Agent Engine deployment through the Google Cloud Console under the service it's deployed on (e.g., Cloud Run or GKE).

2. Use Cloud Trace for Observability

For a more in-depth view of how your agent is behaving in the production environment, you should use Cloud Trace. Cloud Trace provides detailed information about the lifecycle of a request, helping you identify bottlenecks, errors, and unexpected behavior within your agent and its interactions with other services. You can find more information on how to use it in the ADK documentation on Cloud Trace. [1]

3. Verify Environment Configuration

There are several configuration aspects that can differ between the playground and your production environment:

• Permissions: Ensure that the service account used by your deployed agent has the necessary IAM permissions to access all required Google Cloud services (e.g., Vertex AI API for model access, or any other APIs your agent uses).
• Model Availability: Double-check that the specific model version you are using is available and accessible in the region where your agent is deployed. Sometimes, different environments have access to different model versions.
• API Keys and Environment Variables: Verify that all necessary API keys and environment variables are correctly set up in your production environment.

4. Isolate the Failing Component

Since you have a multi-agent system, it's possible that only one of the agents is failing and causing the entire process to stop. If possible, try to test each agent individually within the Gemini Enterprise environment to isolate the problematic one. This can help you focus your debugging efforts.

5. Review Deployment Artifacts

When you deploy to Agent Engine, the ADK CLI respects the .ae_ignore file, which might exclude certain files from your deployment. Ensure that all necessary files and dependencies are included in the deployed application.

By systematically going through these steps, you should be able to identify the root cause of the issue.

[1] https://google.github.io/adk-docs/observability/cloud-trace/

[DevoteamQinzhu]

I couldn't interact with my agent while using the AdkApp from preview/reasoning_engines/templates/adk.py
Here is the error I got

File "/home/appuser/.cache/pypoetry/virtualenvs/reasoning-engine-assembly-service-MATOk_fk-py3.12/lib/python3.12/site-packages/vertexai/preview/reasoning_engines/templates/adk.py", line 1015, in _invoke_agent_async
    for event in runner.run_async(
                 ^^^^^^^^^^^^^^^^^
TypeError: 'async_generator' object is not iterable

google-adk==1.18.0
google-cloud-aiplatform==1.127.0
vertexai==1.43.0

It works fine with the AdkApp from agent_engines/templates/adk.py

[rghv-cwx]

Can you tell me the exact import you used? or the version of libraries in which this works.

I am still facing the issue . Here are the imports which I am using

from vertexai import agent_engines
adk_app = agent_engines.AdkApp(agent=root_agent)

[DevoteamQinzhu]

Yes, the import looks exactly the same as mine.

Can you find any errors in your logs? Error stacks can be very helpful to identify the issue.

[rghv-cwx]

I rolled back to the previous version of google-ai-platform==1.121.0, seems like the older version are using AdkApp from agent_engines/templates/adk.py